Whirr Crew

Role Description We are looking for an experienced DevOps Engineer to support and maintain a custom-developed application running in Microsoft Azure. The role focuses on CI/CD automation, Kubernetes administration, production support, incident management, monitoring, troubleshooting, and implementation of DevSecOps best practices. You will be responsible for ensuring the reliability, security, and smooth deployment of applications across pre-production and production environments. - Contract: B2B - Start: June 2026 - Duration: Until December 2026 (extension possible) - Location: Fully Remote - Workload: - First 2 months: approximately 50% allocation (10 MDs/month) - Following months: approximately 25% allocation (5 MDs/month) - Language: English Responsibilities - Manage and support cloud-based applications hosted in Microsoft Azure - Design, maintain, and optimize CI/CD pipelines using Jenkins and GitHub Actions - Perform deployments across development, pre-production, and production environments - Administer and support Kubernetes (AKS) clusters and containerized workloads - Implement and maintain Infrastructure as Code solutions using Terraform and Ansible - Monitor application and infrastructure performance, troubleshoot incidents, and ensure service reliability - Collaborate with development teams to improve deployment processes and operational efficiency - Implement security best practices and support DevSecOps initiatives - Manage access control and permissions using IAM and RBAC principles - Support patch management, vulnerability remediation, and platform maintenance - Work with logging, monitoring, and observability tools to proactively identify and resolve issues - Document operational procedures, deployment processes, and technical solutions Qualifications - Strong commercial experience as a DevOps Engineer in cloud-native environments - Advanced knowledge of Microsoft Azure - Hands-on experience with Kubernetes (AKS) administration and troubleshooting - Strong experience with Docker and containerized applications - Experience with Jenkins and GitHub Actions for CI/CD automation - Experience with Git and GitHub version control - Knowledge of Infrastructure as Code tools such as Terraform and Ansible - Experience with Linux administration and Shell scripting - Experience with monitoring and logging solutions such as Splunk and Azure Monitor - Understanding of DevSecOps principles and security best practices - Experience with IAM and RBAC access management models - Strong troubleshooting, incident management, and production support experience - Excellent communication skills in English Nice to Have - Experience with ArgoCD - Experience with PostgreSQL administration or support - Experience with Prisma Cloud, Snyk, and SonarQube - Experience with ServiceNow and JIRA - Experience working in enterprise-scale cloud environments

Role Description We are looking for a UX Designer to support the evolution of the platform and related cross-business digital initiatives. The role focuses on creating high-quality wireframes, prototypes, and scalable design system components while collaborating closely with product, development, and business teams. - Create wireframes, user flows, prototypes, and detailed UI designs for key components on the platform - Design solutions for cross-business unit initiatives, platform enhancements, and marketing page revamps - Take ownership of final prototypes and design documentation across multiple project phases - Collaborate with Product Owners, developers, and stakeholders to align design output with business goals and project scope - Contribute to design strategy discussions and help align design approaches across multiple platforms - Design, document, and maintain reusable components and patterns within the Design System - Support design and development teams across various business units - Work closely with developers to ensure components are implemented as intended and follow accessibility standards - Contribute to design system governance, including reviews, versioning, and adoption processes - Participate in research, usability testing, and design validation activities Qualifications - Strong experience in Product Design / UI/UX Design for enterprise or large-scale digital platforms - Proven experience creating wireframes, prototypes, and high-fidelity UI designs - Experience working with Design Systems and reusable component libraries - Strong understanding of accessibility standards and responsive design principles - Experience collaborating closely with developers and cross-functional product teams - Ability to manage multiple design streams and stakeholder expectations - Experience with design governance, documentation, and component versioning - Strong communication and presentation skills - Experience with modern design tools such as Figma - English proficiency required Requirements - Experience working in enterprise or global corporate environments - Experience with usability testing and user research activities - Knowledge of frontend implementation constraints and collaboration workflows - Experience supporting multi-brand or multi-platform ecosystems

We are looking for an experienced Business Development Manager to help us grow our client base, primarily in the Czech Republic, with potential expansion into European markets. Our company focuses on delivering high-quality Custom Software Development and outsourcing services, building long-term partnerships with clients across industries. Your primary responsibility will be to identify, engage, and close new business opportunities. This is a results-driven role requiring strong knowledge of IT services sales and proven expertise in international business development. Details: Contract type: B2B Schedule: Fully Remote, Full-time Czech: upper+ English: upper+ Key Responsibilities: - Identify and acquire new clients in the Czech and European markets. - Develop and execute effective sales strategies for custom software development and outsourcing services. - Conduct market research to identify prospects, leads, and potential growth opportunities. - Build and maintain strong, trust-based client relationships. - Manage the full sales cycle — from lead generation and qualification to contract negotiation and closure. - Prepare and deliver impactful presentations and tailored proposals. - Negotiate agreements that ensure both client satisfaction and company profitability. - Collaborate closely with internal delivery teams to align services with client needs. - Track sales performance, provide insights, and report progress to management. - Stay updated on industry trends, market shifts, and competitor activities to adapt strategies. Qualifications: - 3+ years of proven experience in business development / IT sales. - Strong track record of acquiring new clients in outsourcing or custom software development. - Experience with Czech market (must-have); European markets experience is a strong plus. - Deep understanding of IT services sales cycles and engagement models. - Excellent communication, negotiation, and presentation skills. - Strong relationship-building abilities with a client-first mindset. - Ability to work independently and deliver measurable results. - Czech, English – Upper-Intermediate or higher (mandatory).

We are looking for an experienced MLOps / Cloud Engineer with a strong background in building and operating cloud-based AI/ML platforms in production environments. The role focuses on designing scalable infrastructure, enabling end-to-end ML workflows, and supporting modern GenAI/LLM solutions. Start Date: ASAP Location: Remote (EU-based) Language: English Contract Type: B2B Responsibilities: - Design, build, and operate cloud-based AI/ML platforms in production environments - Develop and maintain scalable MLOps pipelines for end-to-end ML workflows - Implement and optimize CI/CD pipelines for ML and software delivery (e.g., GitHub Actions) - Manage and provision infrastructure using Infrastructure as Code (Terraform) - Deploy, manage, and optimize containerized applications using Docker and Kubernetes (EKS) - Work with AWS and Azure services, including ML services (e.g., SageMaker, Bedrock) - Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki, ELK) - Ensure security best practices across cloud infrastructure and CI/CD pipelines - Support model lifecycle management including model registry, performance monitoring, and data quality tracking - Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions - Analyze existing codebases and suggest improvements and refactoring where needed Requirements: - Hands-on experience with AWS and/or Azure cloud platforms - Proven experience with Kubernetes and Docker in production environments - Strong knowledge of Terraform (Infrastructure as Code) - Experience with CI/CD pipelines (e.g., GitHub Actions) - Proficiency in Python and solid understanding of software engineering principles and architecture - Experience with LLM / GenAI solutions and ML platforms (e.g., SageMaker, Bedrock) - Strong understanding of ML concepts and algorithms, with practical implementation experience - Experience with MLOps tooling and architecture (e.g., Kubeflow, model registry, monitoring) - Knowledge of monitoring and logging tools (Prometheus, Grafana, Loki, ELK) - Understanding of security best practices in cloud and DevOps environments Nice to Have: - Experience with enterprise-scale projects and environments - Familiarity with advanced Kubernetes features (e.g., operators) - Experience with performance optimization of Docker images - Exposure to tools like Dynatrace

We are looking for SIEM & SOAR Consultant. Details: Contract: B2B Start: May 1, 2026 End: September 30, 2026 (with possible extension) Workload: full-time (100%) Location: remote (EU-based candidates only) Language: English Responsibilities: - Design, deploy, and maintain automations within XSIAM environment - Develop and manage Palo Alto XSIAM playbooks and workflows - Support security incident handling and automation of response processes - Collaborate with internal security and infrastructure teams - Assist with root cause analysis and incident investigations - Implement pre-approved operational changes within security systems - Ensure stable and compliant operation of XSIAM services Requirements: - Strong experience with Palo Alto XDR/XSIAM - Experience with Palo Alto XSOAR - Hands-on experience with SIEM technologies (advanced level) - Understanding of security incident workflows and automation Nice to have: - Experience in cloud information security - Experience with Cyber Threat Intelligence (CTI) platforms - Scripting experience (Python)

We are looking for an experienced MLOps / Cloud Engineer with a strong background in building and operating cloud-based AI/ML platforms in production environments. The role focuses on designing scalable infrastructure, enabling end-to-end ML workflows, and supporting modern GenAI/LLM solutions. Start Date: ASAP Location: Remote (EU-based) Language: English Contract Type: B2B Responsibilities: - Design, build, and operate cloud-based AI/ML platforms in production environments - Develop and maintain scalable MLOps pipelines for end-to-end ML workflows - Implement and optimize CI/CD pipelines for ML and software delivery (e.g., GitHub Actions) - Manage and provision infrastructure using Infrastructure as Code (Terraform) - Deploy, manage, and optimize containerized applications using Docker and Kubernetes (EKS) - Work with AWS and Azure services, including ML services (e.g., SageMaker, Bedrock) - Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki, ELK) - Ensure security best practices across cloud infrastructure and CI/CD pipelines - Support model lifecycle management including model registry, performance monitoring, and data quality tracking - Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions - Analyze existing codebases and suggest improvements and refactoring where needed Requirements: - Hands-on experience with AWS and/or Azure cloud platforms - Proven experience with Kubernetes and Docker in production environments - Strong knowledge of Terraform (Infrastructure as Code) - Experience with CI/CD pipelines (e.g., GitHub Actions) - Proficiency in Python and solid understanding of software engineering principles and architecture - Experience with LLM / GenAI solutions and ML platforms (e.g., SageMaker, Bedrock) - Strong understanding of ML concepts and algorithms, with practical implementation experience - Experience with MLOps tooling and architecture (e.g., Kubeflow, model registry, monitoring) - Knowledge of monitoring and logging tools (Prometheus, Grafana, Loki, ELK) - Understanding of security best practices in cloud and DevOps environments Nice to Have: - Experience with enterprise-scale projects and environments - Familiarity with advanced Kubernetes features (e.g., operators) - Experience with performance optimization of Docker images - Exposure to tools like Dynatrace

We are looking for a Solution Architect specializing in Intelligent Automation to design and deliver end-to-end automation solutions combining RPA and AI technologies. The ideal candidate brings strong hands-on experience with UiPath and modern AI-driven automation approaches, and is capable of translating business needs into scalable, production-ready architectures. Start Date: ASAP Location: EU / Remote (with potential workshops if required) Language: English Contract Type: B2B contract Responsibilities: - Architect and design end-to-end intelligent automation solutions using RPA and AI technologies - Lead solution design and implementation across UiPath platforms, ensuring scalability and maintainability - Engage with stakeholders to understand business needs and translate them into AI-driven automation solutions - Design and implement agent-based workflows using Agentic frameworks, AI Center, and Document Understanding capabilities - Define and implement cross-platform orchestration across tools such as UiPath, Gemini Enterprise, and Copilot ecosystems - Design CI/CD strategies and reusable automation frameworks to support enterprise-scale deployments - Establish automation best practices, governance standards, and architecture guidelines - Create and maintain architecture blueprints, technical diagrams, runbooks, and documentation - Mentor automation engineers and support Product Owners and Business Analysts in refining requirements - Ensure high-quality delivery of automation services aligned with enterprise standards Requirements: - 7–12 years of experience in RPA, automation architecture, or related roles - Strong hands-on expertise with UiPath (including Orchestrator and Document Understanding) - Experience designing and implementing AI-driven and agent-based automation solutions (e.g., LLM-based workflows, Copilot, Gemini) - Proven ability to design scalable, enterprise-grade automation architectures with complex integrations - Experience with API-based integrations and workflow orchestration across multiple platforms - Strong understanding of CI/CD pipelines, environment setup, and automation lifecycle management - Solid experience working in Agile environments - Excellent communication skills with the ability to engage both technical and business stakeholders Nice to have: - Experience with Gemini Enterprise or similar AI platforms - Exposure to tools like n8n or other workflow orchestration platforms - Experience in enterprise-level automation programs or digital transformation initiatives

We are looking for a Data Engineer (Databricks) to support the preparation phase for AI implementation by ensuring data is well-structured, reliable, and ready for advanced use cases. The ideal candidate acts as a bridge between business and technology, combining strong data understanding with hands-on technical expertise. Start Date: ASAP Location: Remote in Czechia Language: English, Czech Contract Type: B2B Responsibilities: - Collaborate with business and technical stakeholders to understand data needs and requirements - Utilize Databricks for data processing and engineering tasks - Prepare, structure, and ensure high quality of data for AI implementation - Work hands-on with data, transforming and organizing it for further usage - Act as a bridge between business and technology, translating requirements into data solutions Requirements: - Proven experience as a Data Engineer or in a similar role - Hands-on experience with Databricks - Strong understanding of data and ability to work with it hands-on - Experience working closely with both business and technical stakeholders - Ability to bridge business needs with technical implementation

Role Description We are looking for an experienced MLOps / Cloud Engineer with a strong background in building and operating cloud-based AI/ML platforms in production environments. The role focuses on designing scalable infrastructure, enabling end-to-end ML workflows, and supporting modern GenAI/LLM solutions. Start Date: ASAP Location: Remote (EU-based) Language: English Contract Type: B2B Responsibilities - Design, build, and operate cloud-based AI/ML platforms in production environments - Develop and maintain scalable MLOps pipelines for end-to-end ML workflows - Implement and optimize CI/CD pipelines for ML and software delivery (e.g., GitHub Actions) - Manage and provision infrastructure using Infrastructure as Code (Terraform) - Deploy, manage, and optimize containerized applications using Docker and Kubernetes (EKS) - Work with AWS and Azure services, including ML services (e.g., SageMaker, Bedrock) - Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki, ELK) - Ensure security best practices across cloud infrastructure and CI/CD pipelines - Support model lifecycle management including model registry, performance monitoring, and data quality tracking - Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions - Analyze existing codebases and suggest improvements and refactoring where needed Requirements - Hands-on experience with AWS and/or Azure cloud platforms - Proven experience with Kubernetes and Docker in production environments - Strong knowledge of Terraform (Infrastructure as Code) - Experience with CI/CD pipelines (e.g., GitHub Actions) - Proficiency in Python and solid understanding of software engineering principles and architecture - Experience with LLM / GenAI solutions and ML platforms (e.g., SageMaker, Bedrock) - Strong understanding of ML concepts and algorithms, with practical implementation experience - Experience with MLOps tooling and architecture (e.g., Kubeflow, model registry, monitoring) - Knowledge of monitoring and logging tools (Prometheus, Grafana, Loki, ELK) - Understanding of security best practices in cloud and DevOps environments Nice to Have - Experience with enterprise-scale projects and environments - Familiarity with advanced Kubernetes features (e.g., operators) - Experience with performance optimization of Docker images - Exposure to tools like Dynatrace

Role Description We are looking for an experienced Android Developer to support the development and evolution of a native mobile application in the eCommerce domain. The ideal candidate has strong expertise in Kotlin and modern Android development practices, demonstrates a hands-on and collaborative mindset, and thrives in fast-paced product-oriented environments. Start Date: 1.05.2026 Location: Remote Language: English Contract Type: B2B Responsibilities: - Develop and maintain native Android applications using Kotlin - Participate in application design and technical architecture discussions - Implement new features and enhance existing functionality - Collaborate with backend developers and other stakeholders to integrate APIs and services - Perform code reviews and ensure high code quality standards - Troubleshoot and resolve technical issues - Contribute to continuous improvement of development processes and practices Qualifications - Strong experience in Android development using Kotlin (Java is an advantage) - Experience with Android Jetpack and modern Android architecture - Experience with Coroutines and asynchronous programming - Experience integrating REST APIs - Experience with SQL and data handling - Experience with logging, monitoring, or profiling tools - Experience with version control systems (Git) - Ability to work in a collaborative development environment - Strong communication skills Requirements - Nice to have: - Experience with API management and service mesh technologies (Apigee, Envoy, Kuma, Istio) - Experience with cloud-native development (Microsoft Azure and/or GCP) - Experience with build and release management tools